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Assistant Professor of Water and Environment Data Science

University of Maryland - Department of Environmental Science and Technology

Baltimore, MD, USA

Date added to AEES Website:

February 6, 2024

Date to remove from AEES Website:

February 29, 2024

About the Role

The Department of Environmental Science and Technology (ENST) at University of Maryland, College Park (UMD) invites applications for a full-time, academic year (9-month), tenure track faculty position at the rank of Assistant Professor in the field of Water and Environment Data Science. We invite candidates from all relevant disciplines in the natural and physical sciences and engineering to apply. This position offers a dynamic opportunity for an enthusiastic candidate to significantly contribute to our department's established successful track record in water and environmental research, particularly in addressing national and global water crises. We seek a creative candidate who can enhance and diversify our existing strengths by bridging disciplines and expanding our research initiatives.

In the context of "Water and Environment Data Science”, we are particularly interested in applications in landscape or watershed-scale systems containing interconnected ecosystems, integrated with and influenced by human activities, and analyzed and managed through data science and technological approaches. We are looking for candidates who merge environmental knowledge with advanced technology and data science skills, and have a strong interest in conducting interdisciplinary research to develop and/or apply technologies for efficient environmental data analysis and use-inspired problem-solving. A preferred area of interest is the application of artificial intelligence and machine learning in environmental problem-solving. Other areas of interest include (but are not limited to) using advanced computational methods; leveraging sensor technologies, internet of things (IOTs), unmanned aerial vehicles (UAVs), and remote sensing; and integrating hydrology, environmental, and water quality models with diverse data sources at various spatial and temporal scales. These research approaches should be applied within the broader context of addressing socio-environmental concerns such as climate change, water security, ecosystem resilience, water-food-energy nexus, and ‘one health’ systems. Experience or interest in engaging diverse communities in research and education is also welcome.

For best consideration apply by 02/29/2024 at Position is open until filled.

Required documents: Along with the online application, applicants need to submit the following documents.

1. Curriculum vitae

2. Cover letter (1 page)

3. Research Statement (up to 2 pages)

4. Teaching Statement (up to 2 pages)

5. List of relevant graduate courses, trainings, and certificates (1 page)

6. Names and contact information for three references

If you have any questions about this position, please contact

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